{"id":18091,"date":"2023-06-12T21:06:47","date_gmt":"2023-06-12T21:06:47","guid":{"rendered":"https:\/\/techpearl.com\/1645704443043\/?p=18091"},"modified":"2024-02-14T13:11:33","modified_gmt":"2024-02-14T13:11:33","slug":"applying-prompt-engineering-to-leverage-llms-like-chatgpt-bard","status":"publish","type":"post","link":"https:\/\/techpearl.com\/1719395789229\/applying-prompt-engineering-to-leverage-llms-like-chatgpt-bard\/","title":{"rendered":"Applying Prompt Engineering To leverage LLMs Like ChatGPT &#038; Bard"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"18091\" class=\"elementor elementor-18091\" data-elementor-settings=\"[]\">\n\t\t\t\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-6a0e296 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"6a0e296\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cce5378 jltma-glass-effect-no\" data-id=\"cce5378\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fa365fe jltma-glass-effect-no elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"fa365fe\" data-element_type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Applying Prompt Engineering To leverage LLMs Like ChatGPT &#038; Bard<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0459efa elementor-author-box--image-valign-top elementor-author-box--align-left jltma-glass-effect-no elementor-widget elementor-widget-author-box\" data-id=\"0459efa\" data-element_type=\"widget\" data-widget_type=\"author-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-author-box\">\n\t\t\t\n\t\t\t<div class=\"elementor-author-box__text\">\n\t\t\t\t\t\t\t\t\t<div >\n\t\t\t\t\t\t<h4 class=\"elementor-author-box__name\">Srikanth Renganathan (VP - Techpearl)<\/h4>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0ee6862 bdt-ss-btns-view-icon bdt-ss-btns-shape-rounded bdt-ss-btns-align-left bdt-ep-grid-0 bdt-ss-btns-style-flat bdt-ss-btns-color-original jltma-glass-effect-no elementor-widget elementor-widget-bdt-social-share\" data-id=\"0ee6862\" data-element_type=\"widget\" data-widget_type=\"bdt-social-share.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"bdt-social-share bdt-ep-grid\">\n\t\t\t\t\t\t\t<div class=\"bdt-social-share-item bdt-ep-grid-item\">\n\t\t\t\t\t<div class=\"bdt-ss-btn bdt-ss-linkedin\" data-social=\"linkedin\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"bdt-ss-icon\">\n\t\t\t\t\t\t\t\t<i class=\"ep-linkedin\"><\/i>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bdt-social-share-item bdt-ep-grid-item\">\n\t\t\t\t\t<div class=\"bdt-ss-btn bdt-ss-twitter\" data-social=\"twitter\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"bdt-ss-icon\">\n\t\t\t\t\t\t\t\t<i class=\"ep-twitter\"><\/i>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"bdt-social-share-item bdt-ep-grid-item\">\n\t\t\t\t\t<div class=\"bdt-ss-btn bdt-ss-facebook\" data-social=\"facebook\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"bdt-ss-icon\">\n\t\t\t\t\t\t\t\t<i class=\"ep-facebook\"><\/i>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-cb5ee87 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"cb5ee87\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1d51a0c jltma-glass-effect-no\" data-id=\"1d51a0c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-328e15c jltma-glass-effect-no elementor-widget elementor-widget-theme-post-featured-image elementor-widget-image\" data-id=\"328e15c\" data-element_type=\"widget\" data-widget_type=\"theme-post-featured-image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"2240\" height=\"1260\" src=\"https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Applying-Prompt-Engineering-To-leverage-LLMs-Like-ChatGPT-Bard.png\" class=\"attachment-full size-full\" alt=\"Applying Prompt Engineering To leverage LLMs Like ChatGPT Bard\" srcset=\"https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Applying-Prompt-Engineering-To-leverage-LLMs-Like-ChatGPT-Bard.png 2240w, https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Applying-Prompt-Engineering-To-leverage-LLMs-Like-ChatGPT-Bard-300x169.png 300w, https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Applying-Prompt-Engineering-To-leverage-LLMs-Like-ChatGPT-Bard-1024x576.png 1024w, https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Applying-Prompt-Engineering-To-leverage-LLMs-Like-ChatGPT-Bard-768x432.png 768w, https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Applying-Prompt-Engineering-To-leverage-LLMs-Like-ChatGPT-Bard-1536x864.png 1536w, https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Applying-Prompt-Engineering-To-leverage-LLMs-Like-ChatGPT-Bard-2048x1152.png 2048w\" sizes=\"auto, (max-width: 2240px) 100vw, 2240px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-4c5a9e7 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"4c5a9e7\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-53bce19 jltma-glass-effect-no\" data-id=\"53bce19\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c9e6b1a jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"c9e6b1a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Introduction<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-b87ca44 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"b87ca44\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-09b643a jltma-glass-effect-no\" data-id=\"09b643a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a64c8a2 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"a64c8a2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Prompt Engineering is a discipline within artificial intelligence (AI) that involves systematic design &amp; optimization of prompts and underlying data structures to guide AI systems towards achieving specific outputs. Prompt engineering involves creating specific prompts or cues to guide the generation of relevant text especially by large language models. It has gained popularity in recent years due to its effectiveness in fine-tuning pre-trained models like ChatGpt and Bard to generate more accurate and relevant responses.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-84da1d1 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"84da1d1\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bf1187f jltma-glass-effect-no\" data-id=\"bf1187f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-44bc6ef jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"44bc6ef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The role of a prompt engineer is to create effective prompts or cues that guide the language model&#8217;s generation of text. This involves proving the right element to the LLM including instructions, context, input and output formats etc that trigger the desired response from the model. The prompt engineer works closely with developers and data scientists in a collaborative way to get the desired output from LLMs.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-63e3bac elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"63e3bac\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-271f000 jltma-glass-effect-no\" data-id=\"271f000\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ab2369d jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"ab2369d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Using Hyperparameters to tune the response:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-485bc19 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"485bc19\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a86fdf9 jltma-glass-effect-no\" data-id=\"a86fdf9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-218bdf8 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"218bdf8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>A prompt engineer tunes the hyper-parameters based on the requirement at hand.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65deb21 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"65deb21\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Typical hyper-parameters in LLMs and ways to tune it.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-a92609b elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"a92609b\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-07fc657 jltma-glass-effect-no\" data-id=\"07fc657\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a5c86c1 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"a5c86c1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\"><span class=\"c1\"><strong>Temperature:<\/strong> Temperature is a hyperparameter that controls the randomness of the output. A higher temperature will result in more creative and diverse outputs, while a lower temperature will result in more accurate and predictable outputs.<\/span><\/li><li class=\"c4 li-bullet-0\"><strong><span class=\"c6\">Top-K tokens:<\/span><\/strong><span class=\"c6\">Top-K tokens is a hyperparameter that controls the number of tokens that are considered when generating an output. A higher value will result in more detailed and informative outputs, while a lower value will result in shorter and more concise outputs.<\/span><\/li><li class=\"c4 li-bullet-0\"><span class=\"c1\"><b>Embeddings:<\/b> Embeddings are the representations of words and phrases that are used by the LLM. You can tune the embeddings by changing the size of the embedding layer, the type of embedding, and the training data that is used to train the embeddings.<\/span><\/li><li class=\"c4 li-bullet-0\"><span class=\"c1\"><strong>Architecture:<\/strong> The architecture of the LLM can also be tuned. This includes the number of layers, the number of neurons per layer, and the type of activation function.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-301e943 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"301e943\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-742f289 jltma-glass-effect-no\" data-id=\"742f289\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4fb7f4c jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"4fb7f4c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Example of tuning \u201ctemperature\u201d hyper parameter:<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-ab91d56 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"ab91d56\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e7b17a3 jltma-glass-effect-no\" data-id=\"e7b17a3\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0c98848 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"0c98848\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To access and change hyperparameters like Temperature in ChatGPT or Bard, you can use the prompt_args parameter.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-20fa679 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"20fa679\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For example, to set the temperature to 0.7, you would use the following code:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-4210021 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"4210021\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ae934fc jltma-glass-effect-no\" data-id=\"ae934fc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d634f39 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"d634f39\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Code snippet<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-b3592da elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"b3592da\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c804bf5 jltma-glass-effect-no\" data-id=\"c804bf5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-379df4e jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"379df4e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>response = chatGPT(prompt=&#8221;Write me a poem about love.&#8221;, prompt_args={&#8220;temperature&#8221;: 0.7})<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-b07b2f8 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"b07b2f8\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d620244 jltma-glass-effect-no\" data-id=\"d620244\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9394d9e jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"9394d9e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\">Temperature = 0.5: This will result in outputs that are similar to the training data.<\/li><li class=\"c4 li-bullet-0\">Temperature = 1.0: This will result in outputs that are more creative and diverse.<\/li><li class=\"c4 li-bullet-0\">Temperature = 2.0: This will result in outputs that are very creative and may not be very accurate.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-22e338f elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"22e338f\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-89b434c jltma-glass-effect-no\" data-id=\"89b434c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5a8685e jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"5a8685e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>You can also use the prompt_args parameter to change other hyperparameters, such as top-k tokens, beam width, and length penalty.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-05df435 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"05df435\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c9d411c jltma-glass-effect-no\" data-id=\"c9d411c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c9748a0 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"c9748a0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Prompting Techniques<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-c8fe210 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"c8fe210\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0705301 jltma-glass-effect-no\" data-id=\"0705301\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f9788c6 jltma-glass-effect-no elementor-widget elementor-widget-image\" data-id=\"f9788c6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Prompt-Engineering-3-Techniques-to-leverage-LLMs-LIke-ChatGPT-and-Bard.png\" class=\"attachment-full size-full\" alt=\"3 Prompt Engineering Techniques to leverage LLMs LIke ChatGPT and Bard\" srcset=\"https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Prompt-Engineering-3-Techniques-to-leverage-LLMs-LIke-ChatGPT-and-Bard.png 1024w, https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Prompt-Engineering-3-Techniques-to-leverage-LLMs-LIke-ChatGPT-and-Bard-300x225.png 300w, https:\/\/techpearl.com\/1719395789229\/wp-content\/uploads\/2023\/06\/Prompt-Engineering-3-Techniques-to-leverage-LLMs-LIke-ChatGPT-and-Bard-768x576.png 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-f04693e elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"f04693e\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-11e1725 jltma-glass-effect-no\" data-id=\"11e1725\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0f2e307 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"0f2e307\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Zero-shot prompting<\/strong> is a technique for using large language models (LLMs) to generate text without any training data. In zero-shot prompting, the user provides a prompt, which is a short piece of text that describes the desired output.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e508ba1 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"e508ba1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For example, the user might provide the prompt &#8220;Write a poem about love.&#8221; The LLM would then generate a poem about love.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12e98ec jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"12e98ec\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Zero-shot prompting is a powerful technique that can be used for a variety of tasks, such as generating creative text, writing different kinds of creative content, and answering your questions in an informative way, even if they are open ended, challenging, or strange.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3bb26f jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"f3bb26f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Few-shot prompting<\/strong> is a technique for using LLMs to generate text with a small amount of training data. In few-shot prompting, the user provides a prompt and a few examples of the desired output. The LLM then generates text that is consistent with the prompt and the examples.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45fd90e jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"45fd90e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For example, the user might provide the prompt &#8220;Write a poem about love&#8221; and a few examples of poems about love. The LLM would then generate a poem about love that is similar to the examples.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51857ac jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"51857ac\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Few-shot prompting is a more powerful technique than zero-shot prompting, as it allows the user to provide the LLM with some guidance on the desired output.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b7cfb3d jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"b7cfb3d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Chain-of-thought prompting<\/strong> is a technique for using LLMs to generate text that is step-by-step reasoning. In chain-of-thought prompting, the user provides a prompt and a series of intermediate steps. The LLM then generates text that explains the intermediate steps and arrives at the final answer.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d1f0c98 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"d1f0c98\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For example, the user might provide the prompt &#8220;How do I calculate the area of a triangle?&#8221; and a series of intermediate steps, such as &#8220;Find the length of the base&#8221; and &#8220;Find the height.&#8221; The LLM would then generate text that explains how to calculate the area of a triangle, step-by-step.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-543198e jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"543198e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Chain-of-thought prompting is a powerful technique for using LLMs to solve problems that require step-by-step reasoning.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-4ff46ee elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"4ff46ee\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-afbacf9 jltma-glass-effect-no\" data-id=\"afbacf9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-87c874b jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"87c874b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Technical examples of how these techniques can be applied<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-5b13822 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"5b13822\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a136de6 jltma-glass-effect-no\" data-id=\"a136de6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-09dc63e jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"09dc63e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\"><strong>Zero-shot prompting:<\/strong> A user might use zero-shot prompting to generate a poem about a specific topic, such as &#8220;Write a poem about the ocean.&#8221;<\/li><li class=\"c4 li-bullet-0\"><strong>Few-shot prompting:<\/strong> The user would provide the LLM with the prompt &#8220;Summarize this news article&#8221; and a few examples of summaries of news articles.<\/li><li class=\"c4 li-bullet-0\"><strong>Chain-of-thought prompting:<\/strong> The user would provide the LLM with the prompt &#8220;Solve this math problem&#8221; and a series of intermediate steps. The LLM would then generate text that explains how to solve the math problem, step-by-step.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-d237ac2 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"d237ac2\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ba67730 jltma-glass-effect-no\" data-id=\"ba67730\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d42ad97 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"d42ad97\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Using Prompt Engineering For Software Development lifecycle<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-9bf8dfe elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"9bf8dfe\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f8371d6 jltma-glass-effect-no\" data-id=\"f8371d6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cea98db jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"cea98db\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Large language models (LLMs) can be used in various phases of the code development lifecycle.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d330a1 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"1d330a1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Requirements gathering<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3b829d jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"e3b829d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In the requirements gathering phase, LLMs can be used to generate natural language descriptions of the system to be developed by asking stakeholders questions about their needs. For example, an LLM could be asked to generate a description of a new e-commerce website by asking questions such as:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-0ff6a5e elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"0ff6a5e\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d30b007 jltma-glass-effect-no\" data-id=\"d30b007\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-66215d7 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"66215d7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\">What products will be sold on the website?<\/li><li class=\"c4 li-bullet-0\">How will customers be able to purchase products?<\/li><li class=\"c4 li-bullet-0\">How will customers be able to track their orders?<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-eff53ab elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"eff53ab\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-581e6ba jltma-glass-effect-no\" data-id=\"581e6ba\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-80b6f7b jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"80b6f7b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The LLM can then use this information to generate a high-level overview of the system, including its features, functionality, and user interface. This information can then be used to create a more detailed requirements document, which will be used to guide the development of the system.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-bc14466 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"bc14466\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b272404 jltma-glass-effect-no\" data-id=\"b272404\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e056d85 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"e056d85\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Design<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-322dd35 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"322dd35\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d80c6e1 jltma-glass-effect-no\" data-id=\"d80c6e1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-88dc76b jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"88dc76b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In the design phase, LLMs can be used to generate design snippets that implement the requirements. For example, an LLM could be asked to generate design snippets that implements a search feature for an e-commerce website by asking questions such as:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-b85eb6a elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"b85eb6a\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9c33e08 jltma-glass-effect-no\" data-id=\"9c33e08\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1a23f87 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"1a23f87\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\">How should the search results be displayed?<\/li><li class=\"c4 li-bullet-0\">How should the search results be sorted?<\/li><li class=\"c4 li-bullet-0\">How should the search results be filtered?<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-cb70774 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"cb70774\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-610d57b jltma-glass-effect-no\" data-id=\"610d57b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8e97ac4 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"8e97ac4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Implementation<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-bd1a65d elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"bd1a65d\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e83ad91 jltma-glass-effect-no\" data-id=\"e83ad91\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-556b380 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"556b380\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In the implementation phase, LLMs can be used to generate code that is consistent with the design. For example, an LLM could be asked to generate code that implements a login feature for an e-commerce website by asking questions such as:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-f092b12 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"f092b12\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9a46b0b jltma-glass-effect-no\" data-id=\"9a46b0b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-694c8c0 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"694c8c0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\">How should users be authenticated?<\/li><li class=\"c4 li-bullet-0\">How should users be able to reset their passwords?<\/li><li class=\"c4 li-bullet-0\">How should users be able to change their passwords?<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-f4c5712 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"f4c5712\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d46d125 jltma-glass-effect-no\" data-id=\"d46d125\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b043872 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"b043872\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The LLM can then use this information to generate code that implements the login feature, including the user interface, the database queries, and the security checks.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-86e27ab elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"86e27ab\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-67d6630 jltma-glass-effect-no\" data-id=\"67d6630\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3ed875b jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"3ed875b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Code-refactor example<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-5ad0880 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"5ad0880\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c42399b jltma-glass-effect-no\" data-id=\"c42399b\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-01388b3 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"01388b3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Consider the following code:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-769d31e elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"769d31e\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ebf3823 jltma-glass-effect-no\" data-id=\"ebf3823\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6184e9f jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"6184e9f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><i><span style=\"font-weight: 400;\">Python<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">def calculate_area(length, width):<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0&#8220;&#8221;&#8221;Calculates the area of a rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0Args:<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0length: The length of the rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0width: The width of the rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0Returns:<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0The area of the rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0&#8220;&#8221;&#8221;<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0if length &lt; 0 or width &lt; 0:<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0raise ValueError(&#8220;The length and width must be positive.&#8221;)<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0return length * width<\/span><\/i><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-8ab6b58 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"8ab6b58\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c0ed34c jltma-glass-effect-no\" data-id=\"c0ed34c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8c7cfd8 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"8c7cfd8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This code is perfectly functional, but it could be improved by refactoring it to use functions that are more specific to the task at hand. For example, we could create a function called is_positive() to check if a number is positive, and then use this function to check if the length and width are positive. We could then use this function to calculate the area of the rectangle, as follows:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-26b0116 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"26b0116\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4d692f9 jltma-glass-effect-no\" data-id=\"4d692f9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bc7edfa jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"bc7edfa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><i><span style=\"font-weight: 400;\">Python<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">def is_positive(number):<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0&#8220;&#8221;&#8221;Checks if a number is positive.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0Args:<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0number: The number to check.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0Returns:<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0True if the number is positive, False otherwise.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0&#8220;&#8221;&#8221;<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0return number &gt; 0<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">def calculate_area(length, width):<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0&#8220;&#8221;&#8221;Calculates the area of a rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0Args:<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0length: The length of the rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0width: The width of the rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0Returns:<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0The area of the rectangle.<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0&#8220;&#8221;&#8221;<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0if not is_positive(length) or not is_positive(width):<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0raise ValueError(&#8220;The length and width must be positive.&#8221;)<\/span><\/i><\/p><p><i><span style=\"font-weight: 400;\">\u00a0\u00a0return length * width<\/span><\/i><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-b988cac elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"b988cac\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1629122 jltma-glass-effect-no\" data-id=\"1629122\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-490ab3c jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"490ab3c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This code is more readable and easier to maintain, because it uses functions that are more specific to the task at hand.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-3106d3c elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"3106d3c\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-101615f jltma-glass-effect-no\" data-id=\"101615f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-744b12a jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"744b12a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Testing<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-3a01ab1 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"3a01ab1\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-18a198f jltma-glass-effect-no\" data-id=\"18a198f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0e4b813 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"0e4b813\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In the testing phase, LLMs can be used to generate test cases that exercise the code. For example, an LLM could be asked to generate test cases for a login feature for an e-commerce website by asking questions such as:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-a2eb3dd elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"a2eb3dd\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5ea2bf7 jltma-glass-effect-no\" data-id=\"5ea2bf7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-06b2a7f jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"06b2a7f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\">What happens if a user enters an incorrect username?<\/li><li class=\"c4 li-bullet-0\">What happens if a user enters an incorrect password?<\/li><li class=\"c4 li-bullet-0\">What happens if a user forgets their password?<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-170a2aa elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"170a2aa\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-98a1077 jltma-glass-effect-no\" data-id=\"98a1077\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9980642 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"9980642\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Deployment<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-91264c0 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"91264c0\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6499e78 jltma-glass-effect-no\" data-id=\"6499e78\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2e1b45b jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"2e1b45b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In the deployment phase, LLMs can be used to generate documentation and scripts that automate the deployment process. For example, an LLM could be asked to generate documentation and scripts that deploy an e-commerce website to a cloud environment by asking questions such as:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-7c93161 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"7c93161\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d919d7f jltma-glass-effect-no\" data-id=\"d919d7f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-766455a jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"766455a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li class=\"c4 li-bullet-0\">What are the requirements for the cloud environment?<\/li><li class=\"c4 li-bullet-0\">What are the steps involved in deploying the website to the cloud environment?<\/li><li class=\"c4 li-bullet-0\">What are the post-deployment tasks that need to be performed?<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-423fe0b elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"423fe0b\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2808fc0 jltma-glass-effect-no\" data-id=\"2808fc0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-114f6ef jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"114f6ef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The LLM can then use this information to generate documentation and scripts that automate the deployment process. This can help to ensure that the system is deployed correctly and efficiently.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-db09349 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"db09349\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1ae3a21 jltma-glass-effect-no\" data-id=\"1ae3a21\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-45d4d90 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"45d4d90\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>LLMs can be a valuable tool for developers at all stages of the code development lifecycle. By automating tasks and providing insights, LLMs can help developers save time and improve the quality of their code.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-b31497a elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"b31497a\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-75bc9c7 jltma-glass-effect-no\" data-id=\"75bc9c7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c0bc37 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"7c0bc37\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Summary<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-803c59d elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"803c59d\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-781921d jltma-glass-effect-no\" data-id=\"781921d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-38effd8 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"38effd8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Prompt engineering is a powerful technique that can be used to improve the performance of LLMs on a variety of tasks. By providing the LLM with a specific prompt, the prompt engineer can guide the model&#8217;s generation of text and improve the accuracy and relevance of the output.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-db69bd8 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"db69bd8\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e9ec77e jltma-glass-effect-no\" data-id=\"e9ec77e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1837ce5 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"1837ce5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">References<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-f16b28e elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"f16b28e\" data-element_type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-446ca8a jltma-glass-effect-no\" data-id=\"446ca8a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1accb35 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"1accb35\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><a href=\"https:\/\/help.openai.com\/en\/articles\/6654000-best-practices-for-prompt-engineering-with-openai-api\" target=\"_blank\" rel=\"noopener\">https:\/\/help.openai.com\/en\/articles\/6654000-best-practices-for-prompt-engineering-with-openai-api<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ef45bb7 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"ef45bb7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.promptingguide.ai\/applications\/coding\" target=\"_blank\" rel=\"noopener\">https:\/\/www.promptingguide.ai\/applications\/coding<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Introduction Prompt Engineering is a discipline within artificial intelligence (AI) that involves systematic design &amp; optimization of prompts and underlying data structures to guide AI systems towards achieving specific outputs. Prompt engineering involves creating specific prompts or cues to guide the generation of relevant text especially by large language models. It has gained popularity in &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/techpearl.com\/1719395789229\/applying-prompt-engineering-to-leverage-llms-like-chatgpt-bard\/\"> <span class=\"screen-reader-text\">Applying Prompt Engineering To leverage LLMs Like ChatGPT &#038; Bard<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":13,"featured_media":18116,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63,21],"tags":[52],"class_list":["post-18091","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-software-development","tag-software-development"],"_links":{"self":[{"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/posts\/18091","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/comments?post=18091"}],"version-history":[{"count":90,"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/posts\/18091\/revisions"}],"predecessor-version":[{"id":19131,"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/posts\/18091\/revisions\/19131"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/media\/18116"}],"wp:attachment":[{"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/media?parent=18091"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/categories?post=18091"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techpearl.com\/1719395789229\/wp-json\/wp\/v2\/tags?post=18091"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}